Method and a first node for managing modes of operation of a service

ABSTRACT

A first node (110) and a method therein for managing modes of operation of a service, referred to as “service modes” are disclosed. The service is executed in the first node (110). The service is capable of communicating with a second node (120) over a wireless network (100). The first node (110) receives an estimated level of a connectivity for the service from the wireless network (100). The estimated level of the connectivity relates to likelihood of maintaining the connectivity to the second node (120). The first node (110) selects one of the service modes based on the estimated level of the connectivity. Moreover, corresponding computer programs and computer program products are disclosed.

TECHNICAL FIELD

Embodiments herein relate to wireless communication systems, such astelecommunication systems. A method and a first node for managing modesof operation of a service are disclosed. Moreover, a correspondingcomputer program and a computer program product are disclosed.

BACKGROUND

Today wireless communication systems are mainly used for human-centeredcommunication and services. A trend is, however, to use wirelesscommunication systems for communication and services mainly involvingmachines. This kind of communication and services are often referred toas Machine-to-Machine (M2M) communication.

Certain types of communication and services within M2M communication areexpected to require that a wireless connection, provided by the wirelesscommunication systems, is highly reliable. The wireless connection isrequired to be highly reliable both in terms of loss of the wirelessconnection and the possibility of establishing the wireless connection.In the following, the term “reliable” is used in this context.Therefore, for the above mentioned certain types of communication andservices within M2M communication, a high reliability of the connection,or the possibility to establish connection, may be said to be required.

This kind of high reliability may also be required for Person-to-Machine(P2M), Person-to-Person (P2P) and Machine-to-Person (M2P) communication.

Services that may need this kind of high reliability include industrialprocess control services, services for alarm monitoring, services insmart grid applications, control and management of business and/ormission critical processes or services, services for monitoring criticalinfrastructure and services towards responders in the national securityand public safety segment and other similar services.

Furthermore, high reliability for certain services may be beneficialwhere deployment of nodes, such as radio base station, radio networkcontroller etc., is particularly costly. At the same time, it is desiredto achieve sufficient capacity, e.g. in terms of number of connecteddevices, and/or coverage for the services.

Consider for example a device, such as smart meters for a smart grid, ametering, sensing or activation device, that is deployed in a network ata remote location at high cost. If there would be a failure incommunication with such a device e.g. due to bad coverage and/orinsufficient capacity, a manual restoration of the communication withthe device or a replacement of the device with another device would berequired to compensate for the failure. Such compensation may imply highlabor costs, which would scale in an unacceptable manner when there area great number of devices which often is the case in application of M2Mcommunication.

It is known to provide connectivity for M2M devices in a number ofdifferent ways using e.g. wired or wireless connections. The wiredconnections may be copper wires, optical fibers, Ethernet cables or thelike. The wireless connections may be provided by use of various RadioAccess Technologies (RATs), such as Wi-Fi, Evolved Universal TerrestrialRadio Access Network for Long Term Evolution (EUTRAN/LTE), UniversalTerrestrial Radio Access Network for High Speed Packet Access(UTRAN/HSPA), Global System for Mobile communication (GSM) for EnhancedData GSM Environment (EDGE) Radio Access Network (GERAN) and the like.Moreover, evolutions of the aforementioned RATs as well as other ThirdGeneration Partnership Project (3GPP) networks may be used to providethe wireless connection.

During planning of the radio access networks and/or telecommunicationsystems mentioned above, it is sometimes desired to set up the radioaccess network such as to provide a high reliability for M2M devices.High connectivity could then be provided in the following ways.

For example, the radio access network could be deployed asover-dimensioned in terms of transport and/or radio link resources.Over-dimensioning of transport resources may refer to use of opticalfibers for communication from a base station, while a peak bit-rate fromthe base station is 800 Megabits per second and an optical fiber mayhandle tenth of Gigabits per second. Over-dimensioning of radio linkresources refers to deployment of more base stations, antennas, use ofmore frequency bands, etc. than needed according to an estimated networkload. The RAN is said to be over-dimensioned when it is deployed to beable to handle a worst case scenario while still having resources thatare available for any upcoming communication.

As another example, so called node availability may be increased byintroducing redundancy in a node by installing multiple power units forpowering of the node. The node availability may relate to availabilityof e.g. transport nodes, radio nodes and server nodes, which communicatewith the M2M device or control or support the network operation. Nodeavailability decreases on failure of a node, which typically happenswhen power units for powering of the node breaks down.

As a further example, in some specific network segments, multiple pathscould be introduced to avoid single point of failure. An optical fiberring is able to cope with interruptions of one optical link by routinginformation in the opposite direction as compared to where theinterrupted optical link is located.

A known exemplifying control system includes a controller and anelectrical valve that is controlled by the controller. The controllersends reference values for controlling the opening and closing of thevalve over a wireless connection. As an example, a reference value ofzero means that the valve should be closed, a reference value of tenmeans that the valve should be completely open and a reference value offive means that the valve should be opened to midway and closed tomidway. Hence, a service executing in the electrical valve receivesreference values from the controller. In response thereto, the valvesends an actual value representing degree of openness of the valve. Incase, the control system controls a flow of a fluid for cooling of e.g.a nuclear plant, it may have serious consequences if the valve is notcontrolled in an appropriate manner. Disadvantageously, a failure of thewireless connection may cause damage to both facilities and humans.

In order to reduce risks due to e.g. a failure of the wirelessconnection, the known control system may be operated in a safe manner atall times. The safe manner should not cause damages as described above,if there are large delays in the communication or even non existingcommunication between the controller and the electrical valve.

SUMMARY

An object may be to efficiently operate a service, e.g. requiring highreliability, in a wireless network. With reference to the example above,efficient operation of the service may improve security thereof.

According to a first aspect, the object is achieved by a method,performed by a first node, for managing modes of operation of a service,referred to as “service modes”. The service is executed in the firstnode. The service is capable of communicating with a second node over awireless network. The first node receives an estimated level of aconnectivity for the service from the wireless network. The estimatedlevel of the connectivity relates to likelihood of maintaining theconnectivity to the second node. The first node selects one of theservice modes based on the estimated level of the connectivity.

According to a second aspect, the object is achieved by a first nodeconfigured to manage modes of operation of a service, referred to as“service modes”. The service is executable in the first node. Theservice is capable of communicating with a second node over a wirelessnetwork. The first node is configured to receive an estimated level of aconnectivity for the service from the wireless network. The estimatedlevel of the connectivity relates to likelihood of maintaining theconnectivity to the second node. Furthermore, the first node isconfigured to select one of the service modes based on the estimatedlevel of the connectivity.

According to a third aspect, the object is achieved by a computerprogram for managing modes of operation of a service. The computerprogram comprises computer readable code units which when executed on afirst node causes the first node to perform the method in first node asdescribed herein.

According to a fourth aspect, the object is achieved by a computerprogram product, comprising a computer readable medium and the computerprogram described directly above.

The first node receives the estimated level of the connectivity from thewireless network. In this manner, the first node is able to select itsmode of operation based on the estimated level of the connectivity, e.g.the mode of operation may be adjusted to conditions in the wirelessnetwork. This may mean that the mode of operation is dependent on theestimated level of the connectivity. As an example, less requiring modesmay be selected when the estimated level of the connectivity isconsidered low. Here, less requiring may be in terms of connectivity. Asa result, the above mentioned object is achieved.

An advantage with some embodiments herein is that more efficientoperation of the service is enabled when the estimated level of theconnectivity is relatively high. Moreover, the embodiments herein alsomake it possible to switch to, or select, a less efficient, but moresecure, mode of operation when the estimated level of the connectivityis low or normal.

BRIEF DESCRIPTION OF THE DRAWINGS

The various aspects of embodiments disclosed herein, includingparticular features and advantages thereof, will be readily understoodfrom the following detailed description and the accompanying drawings,in which:

FIG. 1 is a schematic overview of an exemplifying wireless network inwhich embodiments herein may be implemented,

FIG. 2 is a block diagram illustrating states relating to level ofconnectivity,

FIG. 3 is another block diagram illustrating states relating to level ofconnectivity,

FIG. 4 is a schematic, combined signaling scheme and flowchartillustrating embodiments of the methods,

FIG. 5 is a flowchart illustrating embodiments of the method in thefirst node, and

FIG. 6 is a block diagram illustrating embodiments of the first node.

DETAILED DESCRIPTION

Throughout the following description similar reference numerals havebeen used to denote similar elements, units, modules, circuits, nodes,parts, items or features, when applicable. In the Figures, features thatappear in some embodiments are indicated by dashed lines.

FIG. 1 depicts an exemplifying wireless network 100 in which embodimentsherein may be implemented. In this example, the wireless network 100 isa Long Term Evolution (LTE) system. In other examples, the wirelessnetwork may be any cellular or wireless communication system, such as aWideband Code Division Multiple Access (WCDMA) network, a Global Systemfor Mobile communication (GSM network), Wireless Fidelity (Wi-Fi) or thelike.

Furthermore, a first node 110 and a second node 120 are shown in FIG. 1.The wireless network 100 may comprise the first node 110 and/or thesecond node 120. In some examples, the first node 110 and the secondnode 120 are capable of communicating 130,131 with each other at leastpartly over the wireless network 100.

As used herein, the term “node” may refer to an evolved Node B (eNB), acontrol node controlling one or more Remote Radio Units (RRUs), a radiobase station, an access point, a user equipment, a car withradio/wireless communication capabilities, a wireless machine-to-machinedevice or the like.

As used herein, the term “user equipment” may refer to a mobile phone, acellular phone, a Personal Digital Assistant (PDA) equipped with radiocommunication capabilities, a smartphone, a laptop or personal computer(PC) equipped with an internal or external mobile broadband modem, atablet PC with radio communication capabilities, a portable electronicradio communication device, an embedded processor equipped with radiocommunication capabilities or connected to a modem, a sensor deviceequipped with radio communication capabilities or the like. The sensormay be any kind of weather sensor, such as wind, temperature, airpressure, humidity etc. As further examples, the sensor may be a lightsensor, an electronic switch, a microphone, a loudspeaker, a camerasensor etc. The term “user” may refer to the user equipment.

Before the embodiments herein are described, level of connectivity, as aconcept, is explained with reference to the block diagrams in FIG. 2 andFIG. 3. The first node 110 and/or the second node 120 may be referred toas a M2M device.

Level of connectivity may also be referred to as connectivityavailability. Generally, the level of connectivity is herein defined asa probabilistically guaranteed promise that some sufficiently goodconnectivity, which e.g. fulfils service requirements for a specific M2Mservice, can be provided at or above some degree of likelihood. Servicerequirements are further described in section “service requirements”below. In some examples, the level of connectivity may be a valuerelating to likelihood of maintaining the connectivity towards thewireless network 100, such as the second node 120, for a service, suchas the specific M2M service or the like.

FIG. 2 shows a block diagram illustrating three exemplifying statesrelating to levels of connectivity. The three exemplifying statesincludes a first state 201 with no connectivity, a second state 202 withbasic level of connectivity and a third state 203 with high level ofconnectivity.

In this example, a level of connectivity is given by a probability valuebetween 0 and 1. Therefore, the level of connectivity may be a digit, avalue, a string of bits or the like, which is representing some specificlevel of connectivity. Thus, the level of connectivity relates tolikelihood, or probability, for a service, executed in the first node110, to maintain connectivity to the wireless network 100 and/or e.g.the second node 120.

To maintain the connectivity means that the first node 110 may maintain,i.e. not drop, a wireless connection that has been established.

Moreover, to maintain the connectivity means that the first node 110 mayestablish, or set up, a wireless connection successfully with likelihoodgiven by the probability value. Since the connectivity applies to theservice, expressed herein as connectivity for the service, servicerequirements for the service are accordingly fulfilled by theconnectivity, e.g. the wireless connection, be it an already exitingconnection or a connection to be set up.

With the concept of level of connectivity, a required level of theconnectivity shall be distinguished from an estimated level of theconnectivity.

The required level of the connectivity may be determined by the service,i.e. the service, or in fact a person providing or handling the service,may set the required level of the connectivity to a certain values, e.g.0.9. For this reason, the required level of the connectivity may bereferred to as a desired, or even required, level of the connectivity.As mentioned above, level of connectivity in general may be representedby values between 0 and 1. Thus, a value of 0.9 may be considered torepresent a high level of connectivity. The required level of theconnectivity may also be a default level of the connectivity. Thedefault level of the connectivity may apply for a particular service ora group of services. In other examples, the required level of theconnectivity may be represented by descriptors as “poor”, “medium”,“high” or the like, which descriptors in turn may be associated withcertain ranges of the level of the connectivity.

The required level of the connectivity may, additionally oralternatively, be set by a network node, comprised in the wirelessnetwork 100. The network node may handle requests for services and/orconnections therefore. As an example, the network node may be an eNB inLTE, a Radio Network Controller (RNC), Mobility Management Entity (MME),Serving General Packet Radio Service Support Node (SGSN), Policy andCharging Rules Function (PCRF), Home Subscriber Server (HSS), HomeLocation Register (HLR) or the like. When the network node sets therequired level of the connectivity, it may set different levels of theconnectivity for different services, different users, i.e. differentnodes such as the first and second nodes 110, 120, different usergroups, different types of devices and the like. The different users, oruser groups, may be different in terms of subscriptions, home networketc. The different types of devices may be different in terms of beingmobile or stationary, a user device or a machine device and the like.

The estimated level of the connectivity may for example be determined asdescribed in section “Determining level of connectivity”. The estimatedlevel of the connectivity depends on radio conditions, traffic load etc.in the wireless network 100. Therefore, the estimated level of theconnectivity reflects actual, or real, level of the connectivity for theservice towards the wireless network. The estimated level may thuscorrespond to an actual, or current, level of the connectivity. As aconsequence, when the estimated level is increased, or decreased, itmeans that the actual level of the connectivity, which the estimatedlevel is an estimate of, is in fact increased, or decreased. Theincrease or decrease of the estimated level may occur due to thatcertain actions, e.g. relating to ensuring of the required level of theconnectivity, as described herein are performed.

As described above, the level of the connectivity may be expressed asprobability for a service to maintain connectivity to the wirelessnetwork 100. This means that the probability may be linked to a timeperiod. Hence, as an example, the probability of losing the connectivityduring an upcoming (future) time period is 0.9. In other examples, theprobability may relate to that an event occurs. The event may e.g. bethat a fire alarm report is in fact received by a probability of 0.9999which would set a requirement that there is connectivity when the firealarm actually goes off.

Furthermore, the level of the connectivity may be expressed as Mean TimeBetween Failures (MTBF). For example, when the MTBF of the connectivityis 100 years, failure is very rare.

The three exemplifying states relating to levels of the connectivity maybe seen as a quantization of the levels of the connectivity.

In FIG. 2, threshold values X and Y for deciding when to consider theservice to be in any one of the three states 201, 202, 203 relating tolevels of the connectivity are indicated. Expressed differently, anexemplifying M2M device (not shown) may be in one of the three statesdepending on relations between an estimated probability value relatingto the level of the connectivity and the threshold values X and Y. TheM2M device may be an example of the first node 110 and/or the secondnode 120.

The estimated probability value may be given, e.g. indirectly ordirectly, by the estimated level of the connectivity. Hence, theestimated probability value may be given indirectly by the estimatedlevel of the connectivity when the estimated level of the connectivityrepresents a probability. For example, when the estimated level of theconnectivity is equal to 300, it represents e.g. a probability of 0.7.This means that the estimated level of the connectivity may need to betranslated, interpreted or the like, before it can be used as aprobability value. Alternatively, the estimated probability value may begiven directly by the estimated level of the connectivity when theestimated level of the connectivity is e.g. equal to 0.7. In this case,the estimated level of the connectivity can be used directly without aneed for translation, interpretation or the like, since probabilityvalues range from zero to one.

The three states are in this example defined as follow, starting withthe third state 203 for ease of explanation. In order to find out inwhich state the service is the estimated probability value may bedetermined as mentioned above. Throughout this example, it is assumedthat the same service requirements for the service apply in all states.

High Connectivity State

The M2M device may be in a so called high connectivity state aka thethird state. The connectivity may be considered high if the estimatedprobability value, here denoted PX, is e.g. above a threshold X. Whileusing the reference numerals in the Figure, we have that PX>X.

Basic Connectivity State

The M2M device may be in a so called basic connectivity state aka thesecond state. While assuming in this example that the estimatedprobability value is PY, the connectivity may be considered to be basicif PY is e.g. above a threshold Y. At the same time, PY is not highenough to reach the high connectivity state, i.e. the estimatedprobability value PY is less than the threshold X. While using thereference numerals in the Figure, we have that Y<PY<X.

No Connectivity

The M2M device may be in a state of no connectivity aka the first state.In this state, the M2M device has no connection to the network or aconnection that does not fulfil the service requirements, and the M2Mdevice has therefore no service. Furthermore, the M2M device may nothave, as far as it can be estimated, any possibility to obtain aconnection. This means that the estimated probability value, now denotedby PZ, is not high enough to reach the basic connectivity state. As anexample, the M2M device may be out-of-coverage in view of the wirelessnetwork 100. While using the reference numerals in the Figure, we havethat PZ<Y.

In the description above, the M2M device is said to be in the differentstates mentioned above for reasons of simplicity. In some examples, incase a M2M device runs multiple services, each of those multipleservices may be said to be in the different states. Some or all of themultiple services may be in the same state or all of the multipleservices may be in a respective state.

In the following description, two example scenarios will be referred toin order to improve understanding.

In a first exemplifying scenario, the wireless network 100 is includedin, or forms a part of, a traffic control system, which includes variousentities, e.g. traffic lights, vehicle such as car and trucks,bicyclists carrying cellular phones. At least some of the entitiescommunicate over the wireless network 100. This means that some entitiesof the traffic control system may be within the wireless network 100 andsome other entities may be outside the wireless network 100.

As an example, some functions related to control of vehicles etc. can beautomated when the high connectivity state is reached or available, butthese functions need to operate in a half-automatic or manual mode forsafety reasons when only basic connectivity state is reached oravailable.

In a second exemplifying scenario, the wireless network 100 is includedin an industrial control system or power system. The industrial controlsystem may comprise various entities, such as valves, transportationbelts, spray devices for painting or physical/chemical treatment etc. Atleast some of the entities communicate over the wireless network 100.This means that some entities of the industrial control system may bewithin the wireless network 100 and some other entities may be outsidethe wireless network 100.

The industrial control system may operate at lower margins with higherefficiency, e.g. higher yield, when the entities communicating over thewireless network 100 have high connectivity state, e.g. with boundedlatency, compared to when the entities only have basic connectivitystate, which would require higher margins since the industrial controlsystem needs e.g. more time to react, treat, open/close valves etc.

In the second scenario, it may be that the industrial control system isoperated based on local information, or half-automatic mode, when theentities communication over the wireless network 100 have lowconnectivity state. Local information may have been stored in theentities prior to the low connectivity state.

In FIG. 3, another block diagram illustrates a more general case with Nnumber of states relating to level of connectivity. As illustrated inthis Figure, the states shown in FIG. 2 may be extended to includeadditional states with different levels of connectivity, e.g. withdifferent transition probabilities X1 . . . XN for transition from onestate to another.

FIG. 4 illustrates an exemplifying method for managing modes ofoperation of a service when performed in connection with the wirelessnetwork 100 of FIG. 1. The modes of operation of the service will in thefollowing be referred to as “service modes”. The service is executed inthe first node 110. Therefore, the service is capable of communicatingwith the second node 120 over the wireless network 100.

According to some embodiments, referred to as “peer embodiments” herein,the first node 110 and the second node 120 may be peer entities of asystem. The system may include a first robot and a second robot, asexamples of the first node 110 and the second node 120, respectively, ina manufacturing plant or automated warehouse. The term “peer entities”means that none of the first and second nodes 110, 120 controls theother node, or is a master over the other node.

According to some other embodiments, referred to as “controllerembodiments” herein, the first node 110 may be a server, a masterdevice, a controller device or the like. This means that the first node110 is in a superior position in relation to the second node 120. In thesecond embodiments, the service may thus be capable of communicating130, 131 with the second node 120 in that the service controls thesecond node 120 via a control loop over the wireless network 100.Typically, the first node 110 may send control information forcontrolling the second node 120 as in action 406 below.

According to yet some other embodiments, referred to as “slaveembodiments” herein, the first node 110 may be a client device, a slavedevice or the like. This means that the first node 110 is in an inferiorposition in relation to the second node 120. The service may thus becapable of communicating 130, 131 with the second node 120 in that theservice may be controllable by the second node 120 via a control loopover the wireless network 100. As an example, the second node 120controls the first node 110 e.g. by sending control information as inaction 408 below.

In some scenarios, when the first and second nodes 110, 120 arecomprised in the wireless network, connectivity between the first andsecond nodes 110, 120 may be entirely managed by the wireless network100. The connectivity may be realized by means of a wireless end-to-end(e2e) connection. In these scenarios, the e2e connection may be managedwithin an operator's network, where the operator e.g. owns or operatesthe wireless network 100. This means that the required level ofconnectivity may be managed from service/application layers, such as theservice itself.

Initially, the first node 110 and second node 120 may have beenregistered with each other or a further node (not shown). In thismanner, the first and second nodes 110, 120 may have been set up forcommunication while using at least in part the wireless network 100.

The following actions may be performed in any suitable order

Action 400

The first node 110 may establish a connection with the second node 120over the wireless network 100.

Action 401

In order for the wireless network 100 to be able to inform e.g. thefirst and/or second nodes 110, 120 about a level of connectivity for theservice, the wireless network 100 may determine, or measure, theestimated level of the connectivity.

The estimated level of the connectivity may have been determined by thewireless network 100 based on conditions relating to the connection. Theconditions relating to the connection may include at least one of:

number of connections for the first node 110;

quality of connections for the first node 110;

variance of quality of connections for the first node 110;

correlation between connections for the first node 110; and

network conditions impacting connections for the first node 110.

This is further elaborated below with reference to section “Determininglevel of connectivity”. Accordingly, the estimated level of theconnectivity may be an actual level of connectivity that as mentionede.g. depends on traffic load, radio conditions etc. in the wirelessnetwork 100.

Then, the wireless network 100 sends the estimated level of theconnectivity for the service to the first and/or second node 110, 120.The estimated level of the connectivity relates to likelihood ofmaintaining the connectivity to the second node 120.

In some further examples, the first node 110 may estimate the estimatedlevel of the connectivity.

Determining Level of Connectivity

As mentioned, the wireless network 100 may determine the level of theconnectivity based on one or more conditions relating to at least oneconnection for the first node 110, the second node 120 and/or theservice. In the following the term “M2M device” will be used to refer tothe first node 110, the second node 120 and/or the service.

The expression “a connection for the M2M device” refers to that aconnection is usable by the M2M device.

The connection that is useable by the first node 110 shall be understoodto mean a connection which the M2M device is capable of using or whichthe M2M device already uses. The connection that the M2M device iscapable of using may be called a potential or possible connection. Thus,the potential connection for the M2M device is not yet established, i.e.the M2M device is not attached to the wireless network 100 by means ofsuch potential connection.

An already used connection does not necessarily mean that the connectionis actively used for transmission of data. Instead, it is enough thatthe already used connection is established between the first node 110and e.g. the second node 120. For LTE, this means that the first node110 can be in either so called idle mode or connected mode, which modesare referred to as RRC_IDLE and RRC_CONNECTED in Technical Specification(TS) 36.331 of the 3GPP group.

In the following examples, criteria for when to consider the level ofconnectivity to be high are given.

As a first example, the conditions relating to the at least oneconnection for the M2M device include, as mentioned, the number ofconnections for the M2M device.

At least U number of possible connections, which sometimes may be calledconnectivity links or paths, may be provided to the M2M device at asufficiently good link quality.

Possible connections may be:

-   -   connections of the same radio technology, e.g. same or different        frequency carriers, but e.g. to different base stations,    -   connections of the same radio technology to the same base        stations but at different frequencies,    -   connections provided via different radio technologies, e.g. to        the same or different base stations,    -   connections that provide connectivity to different access        networks/operators,    -   fixed/wired connections, such as copper wires and the like.

Base station may here refer to radio network nodes, access points, relaynodes, repeaters and the like.

For the case above, the different connections can either be establishedsimultaneously to the device or in case only some of the connections areestablished it is predicted, based e.g. on measurements, that it wouldbe possible to establish the alternative connections in case the firstset of connections are deemed lost.

As a second example, the conditions relating to the at least oneconnection for the M2M device include, as mentioned, the quality ofconnections for the M2M device.

The connections of the M2M device may be provided at a desired QoS levelwith a significant so called link margin.

For example, when the required transmit power of the M2M device isconsistently X dB below the permitted power as determined by thewireless network 100 e.g. depending on interference restrictions.

As other example, the required radio resources for a connection areconsistently Y % less than what is allocated, or available, for aconnection. In detail, this may be that only half, i.e. Y=50%, of thebit rate specified for the connection, i.e. a Guaranteed Bit Rate (GBR)bearer, is used.

As a third example, the conditions relating to the at least oneconnection for the M2M device include, as mentioned, the variance ofquality of connections for the M2M device. When the variance of qualityof connections is below Z for all or at least S number of connections,then the level of connectivity may be considered high, assuming theaverage quality of the connections is considered good as is explained inthe example below.

An example of quality of connections is connection margin, or linkmargin. Now assume that the M2M device has a certain level ofconnectivity, e.g. there are two connections available with at least 10dB margin beyond what is needed for the required quality of service. Thecertain level of connectivity may be considered as a fulfilling the highconnectivity state requirement if the margin has been stable over a timeperiod. E.g. the margin was at least 10 dB during 95% of the time duringthe last 180 days, and variance of the margin was below a threshold Z.

At the same time, another M2M device with the same certain level ofconnectivity may be considered as not fulfilling the high connectivitystate requirement for this other M2M device. As reason for this may bethat in order to consider the other M2M device to fulfill the highconnectivity state requirement, it may be required that the margin isvery stable, i.e. variance of the margin should be less than P, whereP=0.7*Z as an example. This means that P<Z.

In these manners, the estimated level of the connectivity for the M2Mdevice is taking time dynamics of the quality of connections intoaccount.

As a fourth example, the conditions relating to the at least oneconnection for the M2M device include, as mentioned, the correlationbetween connections for the M2M device. When the correlation ofconnections is below U for all or at least T number of connections, thenthe level of connectivity may be considered high.

As an example, connections which have many common elements or propertiesare considered to have high correlation, while connections which havedifferent elements or properties have low correlation. Examples ofelements include nodes, transport links, antennas, hardwareconfiguration and the like. Examples of properties include radiofrequency band, radio access technology or the like.

As a further example, assume a first path has a set of nodes x1 andlinks y1 and networks z1 to pass through, and a second path hasaccordingly x2/y2/z2 nodes/links/networks. A failure correlation, e.g.given as a value between 0 for no correlation and 1 for full correlationis determined e.g. by the M2M device. This can e.g. be done bydetermining how many of the x1/y1/z1 are common with x2/y2/z2. In thiscorrelation also characteristics of the different elements in x/y/z maybe considered. E.g. if the first and second paths share a commonbackhaul link, this link is determined to affect the correlationlargely; at the same time, if the first and second paths share a commonoptical fiber transport link between two cities, this transport link maybe considered as not affecting the correlation strongly, if it isdetermined that this link has a low probability of failure or atechnical fallback mechanism in-build. Essentially this means thatdifferent nodes and links are assigned different weights depending onthe individual reliability of the node and link when determining theoverall failure correlation.

As a fifth example, the conditions relating to the at least oneconnection for the M2M device include, as mentioned, the networkconditions impacting connections for the M2M device. The networkconditions may be network load, radio interference, radio obstructionsetc. The network load may refer to traffic generated from other users ina local area of the M2M device, number of active users etc. The radiointerference may relate to harmful radio transmission received fromother users, which decreases signal quality received at the M2M device.The radio obstructions may be if a user is in or behind a house whichleads to weaker radio signals.

In further examples, the conditions relating to the at least oneconnection for the M2M device may include information about themobility, e.g. stationary, limited movement, fully mobile, andcapabilities of the M2M device, e.g. supported radio access, supportedfrequency bands, processing capabilities, power classes, etc.

Action 402

Thanks to that the wireless network 100 performs action 401, the firstnode 110 receives the estimated level of the connectivity from thewireless network 100. In this manner, the first node 110 is informedabout the estimated level of the connectivity such that the first node110 is able to use the estimated level of the connectivity in action 403below.

Action 403

The first node 110 selects one of the service modes based on theestimated level of the connectivity. As an example, the first node 110may select a service mode that is proportional to the estimated level ofthe connectivity when the service mode is represented by a number, ordigit. Higher numbers may correspond to that higher levels of theconnectivity are required for the service to be executed with highreliability, e.g. in a secure manner or fail safe manner. A high levelof the connectivity typically means that there is a high probability,e.g. above a threshold value such as 0.9 corresponding to 90%probability, that the connectivity will be maintained.

In some embodiments, the service modes may comprise at least two modesof operation. Thus, the service modes may comprise a first service modeand a second service mode.

In these embodiments, the first node 110 may select the first servicemode when the estimated level of the connectivity exceeds a first valueof connectivity for allowing the service to be operated in the firstservice mode. The first value may be specified in a standard,pre-configured by end user/operator, and signaled dynamically e.g. whenthe first node registers to the wireless network 100. Alternatively, thefirst node may select the second service mode when the estimated levelof the connectivity exceeds a second value of connectivity for allowingthe service to be operated in the second service mode.

As an example, a control system may comprise the first and second nodes110, 120. In this example, the service may be said to be allowed to beoperated in the first or second service mode when the control system isstable. Stable, or stability, has its conventional meaning when used inconnection with automatic control engineering, i.e. the control systemmay not easily be set into a state where control signals, as e.g. sentin action 406 below, oscillate or are outdated such that the controlsystem ceases to work as intended.

Furthermore, in some embodiments, the first node 110 may select one ofthe service modes based on the estimated level of the connectivity inrelation to the required level of the connectivity for a current servicemode. For example, if the estimated level of the connectivity exceedsthe required level of the connectivity for the current service mode,then the first node 110 may select another service mode for which therequired level of the connectivity is greater than the required level ofthe connectivity for the current service mode.

Returning to the example above with the first and second service modes,it shall be noted that the required level of the connectivity isexemplified by the first and second values of connectivity for allowingthe service to be operated in the first and second service modes,respectively.

Action 404

Thanks to that the wireless network 100 performs action 401, the secondnode 120 receives the estimated level of the connectivity from thewireless network 100. In this manner, the second node 120 is informedabout the estimated level of the connectivity such that the second node120 is able to use the estimated level of the connectivity in action 405below.

Action 405

The second node 120 selects one of the service modes based on theestimated level of the connectivity. This action may be explainedsimilarly to action 403 while describing the action from the secondnode's 120 view point instead of the first node's 110 view point.

Action 406

For example in the controller embodiments, the first node 110 may sendcontrol information, referred to as control signals in action 403 above,to the second node 120. Now further extending the example with thecontrol system in action 403, control information may be sent to thesecond node 120 in response to feedback information about an actualvalue in relation to a reference value. As an example, the controlsystem may control a heater to maintain a reference temperature. Then,the control information may include information about at which power theheater should be operated in order to make the actual temperatureapproach, and preferably maintain, the reference temperature.

Before the first node 110 sends the control information, the controlinformation may be adapted to the estimated level of the connectivity.As an example, first node 110 may, e.g. depending on the service modeselected in action 403, adapt the control information in differentmanners. Returning to the example with the control system in action 403,a first margin value or the like may be applied to the controlinformation in order to e.g. avoid frequent on/off operations of e.g. avalve. In this action, the first margin value may be increased as theestimated level of the connectivity decreases and the first margin valuemay be decreased as the estimated level of the connectivity increases.

Action 407

For example in the controller embodiments, the second node 120 mayreceive control information from the second node 120.

For the control system mentioned above, the second node 120 may performsome action according to the control information. Then, the second node120 may send (not shown) feedback information to the first node 110. Fora typical control system, the feedback information may include adeviation, or error, in relation to a reference value included in thecontrol information.

Action 408

The second node 120 may send, to the first node 110, controlinformation. The control information may be adapted to the estimatedlevel of the connectivity. This action may be explained similarly toaction 406 while describing the action from the second node's 120 viewpoint instead of the first node's 110 view point.

Action 409

For example in the slave embodiments, the first node 110 may receivecontrol information from the second node 120. Thanks to that the controlinformation is received, the first node 110 may use the controlinformation in action 410 below.

Action 410

Following action 409, the first node 110 may process the controlinformation while taking the estimated level of the connectivity intoaccount. As an example, first node 110 may, depending on the servicemode selected in action 403, treat the control information in differentmanners. Returning to the example with the control system in action 403,a second margin value or the like may be used with the controlinformation in order to e.g. avoid frequent on/off operations of e.g. avalve. In this action, the second margin value may be increased as theestimated level of the connectivity decreases and the second marginvalue may be decreased as the estimated level of the connectivityincreases.

As mentioned above, the embodiments herein may be implemented in controlsystems. Let consider an exemplifying control system, which may beoperated in multiple modes of operation, e.g. the service mode mentionedabove. The control system comprises control elements, such as the firstand/or second nodes. The control elements are at least partly connectedover the wireless network 100.

The entire control system may be operated in one and the same mode ofoperation, or one or more nodes, such as the first and second nodes 110,120 of the control system are individually, and independently from eachother, operated in different modes of operation. As explained above,which of the different modes of operation that is selected, by e.g. thefirst node 110, depends to a certain extent on the estimated level ofthe connectivity.

As an example, the following modes may be selected according to variousconditions.

A mode A: stability of the control system requires that the estimatedlevel of the connectivity is above A, e.g. a certain probability,between at least two control elements of the control system.

A mode B: stability of the control system requires that the estimatedlevel of the connectivity is above B between at least two controlelements of the control system.

A mode C: stability of the control system requires that basicconnectivity state is achieved between at least two control elements ofthe control system.

A mode D: the control system is operated without any connectivity overthe wireless network 100. That is to say, no control information may besent between the control elements of the control system.

In this exemplifying control system an overall efficiency or benefit ofthe control system decreases from mode A to subsequent modes, where modeD is the least efficient and/or least beneficial. Hence, connectivity oflevel A>connectivity of level B>threshold for basic connectivitystate>threshold for no connectivity.

The control system receives, as in e.g. action 402 and 404, informationabout the estimated level of the connectivity, from the wireless network100. The information indicates which level of the connectivity isprovided between e.g. the control elements. Based on the estimated levelof the connectivity, the mode of operation is selected such that thehighest efficiency/benefit can be achieved while still fulfilling theestimated level of the connectivity requirements of the selected mode ofoperation.

In other examples, the mode of operation may be bound to a set ofconnectivity levels. Assume that the exemplifying control systemcomprises a first set of nodes, such as the first and second nodes 110,120 and two further nodes (not shown). Then, a certain mode of operationof the exemplifying control system may be selected when the estimatedlevel of the connectivity between the first and second nodes 110, 120 isequal to or above C, and the estimated level of the connectivity betweenthe two further nodes is equal to or above B. Hence, which mode toselect depends on the set of connectivity levels for differentconnections, potential or established, within the control system.

Service Requirements

In a wireless communication system like LTE, the service requirementsmay be defined by a set of parameters relating to Quality of Service(QoS). In 3GPP Technical Specification (TS) 23.203, a set of QoS ClassIndicators (QCI) are described. The service that is set up is thusassociated with a certain QCI, in e.g. a range from 1 to 9. Each QCIdescribes for example acceptable delay and error rate for the associatedservice.

Service requirements are also defined for GSM, UTRAN and the like.

In FIG. 5, an exemplifying, schematic flowchart of the method in thefirst node 110 is shown. As mentioned, the first node 110 performs amethod for managing modes of operation of a service, referred to as“service modes”. The service is executed in the first node 110. Theservice is capable of communicating with a second node 120 over awireless network 100.

As mentioned, the service may be capable of communicating while using awireless end-to-end connection to and/or from at least one of the firstnode 110 and the second node 120. The wireless end-to-end connection maybe managed by the wireless network 100.

The first node 110 may be a wireless machine-to-machine device. Thefirst node 110 may be comprised in the wireless network 100. The secondnode 120 may be comprised in the wireless network 100.

The following action may be performed in any suitable order.

Action 500

The first node 110 may establish a connection with the second node 120over the wireless network 100. This action is similar to action 400.

Action 501

The first node 110 receives an estimated level of the connectivity forthe service from the wireless network 100. The estimated level of theconnectivity relates to likelihood of maintaining the connectivity tothe second node 120.

The estimated level of the connectivity may have been determined by thewireless network 100 based on conditions relating to the connection,wherein the conditions relating to the connection include at least oneof:

number of connections for the first node 110;

quality of connections for the first node 110;

variance of quality of connections for the first node 110;

correlation between connections for the first node 110; and

network conditions impacting connections for the first node 110.

This action is similar to action 402.

Action 502

The first node 110 selects one of the service modes based on theestimated level of the connectivity.

In some embodiments, the service modes may comprise a first service modeand a second service mode. In these embodiments, the selecting of one ofthe service modes may comprise selecting the first service mode when theestimated level of the connectivity exceeds a first value ofconnectivity for allowing the service to be operated in the firstservice mode, or selecting the second service mode when the estimatedlevel of the connectivity exceeds a second value of connectivity forallowing the service to be operated in the second service mode.

This action is similar to action 403.

Action 503

This action may relate to the controller embodiments, in which theservice may be capable of communicating with the second node 120 in thatthe service controls the second node 120 via a control loop over thewireless network 100.

Therefore, the first node 110 may send, to the second node 120, controlinformation. The control information may be adapted to the estimatedlevel of the connectivity.

Since this action is similar to action 406, the description of action406 applies also here.

Action 504

This action may relate to the slave embodiments, in which the servicemay be capable of communicating in that the service may be controllableby the second node 120 via a control loop over the wireless network 100.

Therefore, the first node 110 may receive, from the second node 120,control information.

Since this action is similar to action 409, the description of action409 applies also here.

Action 505

The first node 110 may process the control information while taking theestimated level of the connectivity into account. This action may besimilar to action 410.

With reference to FIG. 6, a schematic block diagram of the first node110 is shown. The first node 110 is configured to perform the methods inFIGS. 4 and/or 5. Thus, the first node 110 is configured to manage modesof operation of a service, referred to as “service modes”. The serviceis executable in the first node 110. The service is capable ofcommunicating with a second node 120 over a wireless network 100.

As mentioned, the first node 110 may be a wireless machine-to-machine,M2M, device.

The first node 110 may be comprised in the wireless network 100. Thesecond node 120 may be comprised in the wireless network 100.

Again, the service may be capable of communicating while using awireless end-to-end connection to and/or from at least one of the firstnode 110 and the second node 120. The wireless end-to-end connection maybe managed by the wireless network 100.

According to some embodiments herein, the first node 110 may comprise aprocessing module 610. In further embodiments, the processing module 610may comprise one or more of a receiving module 620, a selecting module630, a sending module 640, a further processing module 650 and anestablishing module 660 as described below.

The first node 110, the processing module 610 or the receiving module620 is configured to receive an estimated level of a connectivity forthe service from the wireless network 100. The estimated level of theconnectivity relates to likelihood of maintaining the connectivity tothe second node 120.

The estimated level of the connectivity may have been determined by thewireless network 100 based on conditions relating to the connection,wherein the conditions relating to the connection may include at leastone of:

number of connections for the first node 110;

quality of connections for the first node 110;

variance of quality of connections for the first node 110;

correlation between connections for the first node 110; and

network conditions impacting connections for the first node 110.

Furthermore, the first node 110, the processing module 610 or theselecting module 630 is configured to select one of the service modesbased on the estimated level of the connectivity.

Moreover, the first node 110, the processing module 610 or theestablishing module 660 may be configured to establish a connection withthe second node 120 over the wireless network 100.

In some embodiments, the service modes may comprise a first service modeand a second service mode. In these embodiments, the first node 110, theprocessing module 610 or the selecting module 630 may be configured toselect the first service mode when the estimated level of theconnectivity exceeds a first value of connectivity for allowing theservice to be operated in the first service mode, or to select thesecond service mode when the estimated level of the connectivity exceedsa second value of connectivity for allowing the service to be operatedin the second service mode.

The service may be capable of communicating in that the service may beconfigured to control the second node 120 via a control loop over thewireless network 100. The first node 110, the processing module 610 orthe sending module 640 may be configured to send, to the second node120, control information. The control information may be adapted to theestimated level of the connectivity.

The service may be capable of communicating in that the service may becontrollable by the second node 120 via a control loop over the wirelessnetwork 100. The first node 110, the processing module 610 or thereceiving module 620 may be configured to receive, from the second node120, control information. Moreover, the first node 110, the processingmodule 610, the further processing module 650 may be configured toprocess the control information while taking the estimated level of theconnectivity into account.

The first node 110 may further comprise an Input/output (I/O) unit 604configured to send and/or receive the estimated level of theconnectivity, the control information and other messages, values,indications and the like as described herein. The I/O unit 604 maycomprise the receiving module 620, the sending module 640, a transmitterand/or a receiver.

Furthermore, the first node 110 may comprise a memory 605 for storingsoftware to be executed by, for example, the processing module when theprocessing module is implemented as a hardware module comprising atleast one processor or the like.

FIG. 6 also illustrates software in the form of a computer program 601for managing modes of operation of a service. The computer program 601comprises computer readable code units which when executed on the firstnode 110 causes the first node 110 to perform the method according toFIGS. 4 and/or 5.

Finally, FIG. 6 illustrates a computer program product 602, comprisingcomputer readable medium 603 and the computer program 601 as describeddirectly above stored on the computer readable medium 603.

As used herein, the term “processing module” may refer to a processingcircuit, a processing unit, a processor, an Application Specificintegrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or thelike. As an example, a processor, an ASIC, an FPGA or the like maycomprise one or more processor kernels. In some examples, the processingmodule may be embodied by a software module or hardware module. Any suchmodule may be a determining means, estimating means, capturing means,associating means, comparing means, identification means, selectingmeans, receiving means, transmitting means or the like as disclosedherein. As an example, the expression “means” may be a module, such as adetermining module, selecting module, etc.

As used herein, the expression “configured to” may mean that aprocessing circuit is configured to, or adapted to, by means of softwareconfiguration and/or hardware configuration, perform one or more of theactions described herein.

As used herein, the term “memory” may refer to a hard disk, a magneticstorage medium, a portable computer diskette or disc, flash memory,random access memory (RAM) or the like. Furthermore, the term “memory”may refer to an internal register memory of a processor or the like.

As used herein, the term “computer readable medium” may be a UniversalSerial Bus (USB) memory, a DVD-disc, a Blu-ray disc, a software modulethat is received as a stream of data, a Flash memory, a hard drive, amemory card, such as a MemoryStick, a Multimedia Card (MMC), etc.

As used herein, the term “computer readable code units” may be text of acomputer program, parts of or an entire binary file representing acomputer program in a compiled format or anything there between.

As used herein, the terms “number”, “value” may be any kind of digit,such as binary, real, imaginary or rational number or the like.Moreover, “number”, “value” may be one or more characters, such as aletter or a string of letters. “number”, “value” may also be representedby a bit string.

As used herein, the expression “in some embodiments” has been used toindicate that the features of the embodiment described may be combinedwith any other embodiment disclosed herein.

Even though embodiments of the various aspects have been described, manydifferent alterations, modifications and the like thereof will becomeapparent for those skilled in the art. The described embodiments aretherefore not intended to limit the scope of the present disclosure.

The invention claimed is:
 1. A method performed by a first node, themethod comprising: receiving, from a wireless network, an estimatedlevel of a connectivity for a service executed in the first node,wherein: the service is capable of communicating with a second node overthe wireless network, and the estimated level of the connectivityrelates to a likelihood of maintaining connectivity of the first node tothe second node over the wireless network; and selecting one of aplurality of service modes based on the estimated level of theconnectivity, wherein the plurality of service modes: are modes ofoperation of the service over the wireless network, and include anautomatic service mode, a half-automatic service mode, and a manualservice mode.
 2. The method according to claim 1, wherein selecting oneof the plurality of service modes comprises: selecting the automaticservice mode when the estimated level of the connectivity exceeds afirst value of connectivity for allowing the service to be operated inthe automatic service mode, or selecting the manual service mode whenthe estimated level of the connectivity exceeds a second value ofconnectivity for allowing the service to be operated in the manualservice mode.
 3. The method according to claim 1, wherein executing theservice comprises controlling the second node via a control loop overthe wireless network, and wherein the method further comprises: sendingcontrol information to the second node, the control information beingadapted to the estimated level of the connectivity.
 4. The methodaccording to claim 1, wherein the service is controllable by the secondnode via a control loop over the wireless network, and wherein themethod further comprises: receiving control information from the secondnode; and processing the control information while taking the estimatedlevel of the connectivity into account.
 5. The method according to claim1, wherein the method comprises: establishing a connection with thesecond node over the wireless network.
 6. The method according to claim5, wherein the received estimated level of the connectivity has beendetermined by the wireless network based on conditions relating to theconnection, wherein the conditions relating to the connection include atleast one of: a number of connections for the first node; quality ofconnections for the first node; a variance of quality of connections forthe first node; a correlation between connections for the first node;and network conditions impacting connections for the first node.
 7. Themethod according to claim 1, wherein the first node is a wirelessmachine-to-machine device.
 8. The method according to claim 1, whereinthe first node is in the wireless network.
 9. The method according toclaim 1, wherein the second node is in the wireless network.
 10. Themethod according to claim 1, wherein the service is capable ofcommunicating while using a wireless end-to-end connection with at leastone of the first node and the second node, wherein the wirelessend-to-end connection is managed by the wireless network.
 11. A firstnode comprising: receiver circuitry configured to receive, from awireless network, an estimated level of a connectivity for a serviceexecuted in the first node, wherein: the service is capable ofcommunicating with a second node over the wireless network, and theestimated level of the connectivity relates to a likelihood ofmaintaining connectivity of the first node to the second node over thewireless network; and processing circuitry operatively associated withthe receiver circuitry and configured to select one of a plurality ofservice modes based on the estimated level of the connectivity, whereinthe plurality of service modes: are modes of operation of the serviceover the wireless network, and include an automatic service mode, ahalf-automatic service mode, and a manual service mode.
 12. The firstnode according to claim 11, wherein the processing circuitry isconfigured to: select the automatic service mode when the estimatedlevel of the connectivity exceeds a first value of connectivity forallowing the service to be operated in the automatic service mode, orselect the manual service mode when the estimated level of theconnectivity exceeds a second value of connectivity for allowing theservice to be operated in the manual service mode.
 13. The first nodeaccording to claim 11, wherein the service is configured to control thesecond node via a control loop over the wireless network, and whereinthe first node is configured to: send control information to the secondnode, the control information being adapted to the estimated level ofthe connectivity.
 14. The first node according to claim 11, wherein theservice is controllable by the second node via a control loop over thewireless network, and wherein the first node is configured to: receivecontrol information from the second node, and process the controlinformation while taking the estimated level of the connectivity intoaccount.
 15. The first node according to claim 11, wherein the firstnode is configured to establish a connection with the second node overthe wireless network.
 16. The first node according to claim 15, whereinthe estimated level of the connectivity has been determined by thewireless network based on conditions relating to the connection, whereinthe conditions relating to the connection include at least one of: anumber of connections for the first node; quality of connections for thefirst node; a variance of quality of connections for the first node; acorrelation between connections for the first node; and networkconditions impacting connections for the first node.
 17. The first nodeaccording to claim 11, wherein the first node is a wirelessmachine-to-machine device.
 18. The first node according to claim 11,wherein the first node is configured for operation in the wirelessnetwork.
 19. The first node according to claim 11, wherein the secondnode is configured for operation in the wireless network.
 20. The firstnode according to claim 11, wherein the service is capable ofcommunicating while using a wireless end-to-end connection with at leastone of the first node and the second node, wherein the wirelessend-to-end connection is managed by the wireless network.
 21. Anon-transitory computer readable storage medium storing a computerprogram, when executed by at least one processor of a first node, causesthe first node to: receive, from a wireless network, an estimated levelof a connectivity for a service executed in the first node, wherein: theservice is capable of communicating with a second node over a wirelessnetwork, and the estimated level of the connectivity relates to alikelihood of maintaining connectivity of the first node to the secondnode over the wireless network; and select one of a plurality of servicemodes based on the estimated level of the connectivity, wherein theplurality of service modes: are modes of operation of the service overthe wireless network, and include an automatic service mode, ahalf-automatic service mode, and a manual service mode.